Triple

T3415019
Position Surface form Disambiguated ID Type / Status
Subject Scala E71988 entity
Predicate influencedBy P9 FINISHED
Object Haskell E95186 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haskell | Statement: [Scala, influencedBy, Haskell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskell
Context triple: [Scala, influencedBy, Haskell]
  • A. Haskell chosen
    Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
  • B. GHC
    GHC is the Gauhati High Court, the principal judicial authority for the Indian state of Assam and certain neighboring states in the Northeast region.
  • C. Hindley–Milner type system
    The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
  • D. Haskell Institute
    Haskell Institute was an educational institution in Kansas historically known for its Native American student body and athletic programs, where legendary basketball coach Phog Allen once worked.
  • E. Scala
    Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb929b8ec8190aef431ec8ea2cf80 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.